Full Stack Product Engineer (AI), Search Job at Harmonic (New York)

Technical Lead - Full-Stack AI Engineer - Private Equity SaaS

Our client, a cutting-edge SaaS platform for private equity and venture capital,...

Location

United States , Chicago

Salary:

170000.00 - 200000.00 USD / Year

Selby Jennings

Expiration Date

Until further notice

Requirements

6+ years in full-stack development
Strong skills in Go, Python, Node.js, and modern frontend frameworks (React, Next.js.)
Hands-on with LLMs (OpenAI, Anthropic preferred) and vector search (Pinecone, pgvector.)
Experience deploying in cloud environments (AWS, Azure, GCP.)
Startup-ready: thrives in ambiguity and owns projects end-to-end while moving fast and not overthinking.

Job Responsibility

Build scalable full-stack applications integrating AI agents into a secure SaaS platform.
Develop and optimize LLM pipelines, prompts, and backend systems (Supabase, Postgres, vector DBs).
Architect APIs and microservices for data processing and retrieval.
Implement responsive, high-performance frontend interfaces for complex workflows.
Ensure compliance with SOC 2, GDPR, and SEC standards.
Collaborate with product and design teams to translate requirements into seamless user experiences.

What we offer

equity

Fulltime

Senior Software Engineer, Product Engineering

Everlaw is looking for a Senior Software Engineer with experience building and s...

Location

United States , Oakland

Salary:

164000.00 - 239000.00 USD / Year

Everlaw

Expiration Date

Until further notice

Requirements

BS or MS in Computer Science, or equivalent coursework
Experience and proficiency in coding in a language such as C, C++, C#, Java, Python, Javascript, Go or Rust
Good knowledge of algorithms and fundamental computer science concepts, relational databases, API design, and building user interfaces
At least 5 years of experience building distributed systems in the cloud with service based architecture, using frontend frameworks to create rich, deep, web applications, and experience with the best practices to test, maintain, and launch cloud based software
At least 1 year of experience leading or coordinating multi-developer efforts, including planning and technical breakdown

Job Responsibility

Build customer-facing features that represent the core of our product, including document and image/multi-modal processing, collaborative review tools, organization, translation tools, search, review, and more
Use AI technologies to find the evidence rapidly such as document classification, predictive coding, transfer learning and LLMs
Collaborate with one or more of the Product, Design, Engineering Operations, Security Engineering, and DevOps teams to build out and implement new features that are used in our production environments
Help with scaling our system to larger datasets with hundreds of millions of documents
Provide Technical Mentorship to other engineers by both sharing your technical knowledge and becoming an expert in an area of our code base
Be a Code Reviewer by reviewing code developed by others using your knowledge of programming languages, design patterns, and best practices
Fix defects in our product by triaging product or system issues and writing code to debug, track and resolve these issues
Provide on-call support for the product by answering questions from customers, triaging defects and exceptions, and carrying the pager
Contribute to documentation for internal engineering consumption or for external the Everlaw platform
Do technical interviews to help us recruit engineers and grow the team

What we offer

Equity program
401(k) retirement plan with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and approximately 10 days (80 hours) per year of sick leave
Seventeen paid vacation days plus 11 federal holidays
Membership to Modern Health to help employees prioritize mental health and wellness
Annual allocation for Learning & Development opportunities and applicable professional membership dues
Company-sponsored life and disability insurance
Work in Downtown Oakland, just steps from the BART line and dozens of restaurants

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

AI Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...

Location

Georgia , Tbilisi

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

Strong experience in AI/ML development and backend engineering
Proficiency in Python and frameworks like FastAPI or Flask
Hands-on experience with LLMs, prompt engineering, and orchestration frameworks (LangChain, LlamaIndex)
Knowledge of Databricks Unity Catalog and MLOps practices
Familiarity with vector databases and semantic search
Ability to design secure, scalable APIs and real-time services
Full-stack development experience and collaboration skills

Job Responsibility

Design and build production-grade AI/ML systems, APIs, and intelligent agents for healthcare automation
Implement secure, scalable RESTful APIs and WebSocket services for real-time interactions
Work with Large Language Models (OpenAI, Anthropic, etc.), apply prompt engineering, and stream token-level responses
Use LangChain, LlamaIndex, or similar frameworks for LLM-based applications
Develop backend services in Python (FastAPI/Flask) and collaborate with frontend engineers on interactive UI components
Connect intelligent systems with vector databases and semantic search platforms for context-aware reasoning
Train, deploy, and monitor ML models with governance and versioning via Databricks Unity Catalog
Support CI/CD pipelines for model lifecycle and ensure audit readiness
Work with global data engineering teams to access structured and unstructured datasets securely

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
24 working days of vacation per year
Expanded medical insurance
Corporate getaways & team building activities
Fitpass sport program
Support for significant life events
Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
Referral bonuses for bringing in new talent

Fulltime

New

Principal Product Manager - MAI Business Commerce

Microsoft AI is a customer-first organization building AI powered products in se...

Location

United States , Mountain View

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 10+ years experience in product/service/program management or software development OR equivalent experience
2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
5+ years experience delivering products that include full Search and/or Advertising technology stack
5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript)
7+ years of experience building Ads products
5+ years of building AI consumer products
5+ years of experience in monetization products and B2B
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team

Job Responsibility

Drive building world-class AI applications that will delight consumers and deliver business results
Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, customer-first, product development cycle
Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams
Define goals and performance indicators, set up and oversee experiments, measure success with data and research
Embody our Culture and Values

Fulltime

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...

Location

United States , Redmond

Salary:

155000.00 - 175000.00 USD / Year

2A Consulting

Expiration Date

Until further notice

Requirements

Proven ability to design and build end-to-end data systems, from ingestion through cleaning, structuring, storage, and serving
Experience building and shipping data products that deliver practical value
Demonstrated impact using AI models in data workflows (applied use, not ML research)
5+ years of software or data engineering experience, including at least 2 years of hands-on work with data pipelines
Comfortable defining architecture and starting systems from scratch, working independently in a small cross-functional team
Proficiency in Python, SQL, or similar languages used in data engineering workflows

Job Responsibility

Build and maintain core data pipelines
Build and maintain end-to-end ingestion pipelines for documents, datasets, code repositories, videos, transcripts, and internal knowledge sources
Clean, normalize, structure, and store data in formats that support both web applications and AI-driven use cases
Use “out of the box” Microsoft tools—such as Fabric, Azure services, Cosmos DB, or Copilot Studio—to create reliable, maintainable systems
Enrich and model research data
Use AI models to transform unstructured content into structured metadata and durable knowledge assets
Design the architecture and foundational data systems, establishing the patterns and infrastructure for a new, scalable environment
Develop and refine embeddings, vector indexes, and retrieval components to support semantic search and grounding scenarios
Build backend and data services
Build data services, APIs, and backend components that power internal applications and agent-supported workflows

What we offer

Flexible time-off plan
100% employer-paid medical, dental, and vision insurance
Employer-paid life insurance for those enrolled in medical coverage
401(k) plan with company match
Fertility, surrogacy, and adoption benefits
Fitness and caregiver benefits
Employee Assistance Program
100% employer-paid short- and long-term disability coverage

Fulltime

AI Engineer

The AI Engineer Associate is a developing professional responsible for designing...

Location

India , Chennai; Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-4 years of overall experience
Minimum of 1.5 years of experience in developing production-grade Gen AI based RAG solutions or Agent-based solutions
Proven experience as a full-stack developer, with hands-on experience in building and deploying production-ready applications
Strong understanding of the Gen AI development process, including prompt engineering, semantic search, and RAG/Agentic pipeline development
Proficiency in Python and experience with relevant frameworks (e.g., Flask, FastAPI, LangChain, Hugging Face)
Experience with deep learning frameworks such as PyTorch or TensorFlow
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes)
Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker)
Strong problem-solving skills and the ability to work independently on assigned tasks
Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field

Job Responsibility

Develop and deploy production-grade Generative AI applications, with a strong focus on building highly effective prompts, semantic search solutions, and robust RAG/Agentic pipelines
Engage in full-stack development, contributing to both the front-end and back-end of AI-powered applications
Implement and maintain MLOps pipelines for continuous integration, delivery, and monitoring of AI models
Contribute to the end-to-end ML model development lifecycle, including data understanding, feature engineering, algorithm selection, and validation
Collaborate with cross-functional teams to translate business requirements into technical solutions
Write clean, scalable, and well-documented code, adhering to software development best practices
Assist in evaluating and integrating new AI technologies and frameworks to enhance existing solutions

Fulltime

Senior Software Engineer, Product Engineering

Everlaw is looking for a Senior Software Engineer with experience building and s...

Location

United States , Oakland, California

Salary:

164000.00 - 239000.00 USD / Year

Everlaw

Expiration Date

Until further notice

Requirements

BS or MS in Computer Science, or equivalent coursework
Experience and proficiency in coding in a language such as C, C++, C#, Java, Python, Javascript, Go or Rust
Good knowledge of algorithms and fundamental computer science concepts, relational databases, API design, and building user interfaces
At least 5 years of experience building distributed systems in the cloud with service based architecture, using frontend frameworks to create rich, deep, web applications, and experience with the best practices to test, maintain, and launch cloud based software
At least 1 year of experience leading or coordinating multi-developer efforts, including planning and technical breakdown

Job Responsibility

Build customer-facing features that represent the core of our product, including document and image/multi-modal processing, collaborative review tools, organization, translation tools, search, review, and more
Use AI technologies to find the evidence rapidly such as document classification, predictive coding, transfer learning and LLMs
Collaborate with one or more of the Product, Design, Engineering Operations, Security Engineering, and DevOps teams to build out and implement new features that are used in our production environments
Help with scaling our system to larger datasets with hundreds of millions of documents
Provide Technical Mentorship to other engineers by both sharing your technical knowledge and becoming an expert in an area of our code base
Be a Code Reviewer by reviewing code developed by others using your knowledge of programming languages, design patterns, and best practices
Fix defects in our product by triaging product or system issues and writing code to debug, track and resolve these issues
Provide on-call support for the product by answering questions from customers, triaging defects and exceptions, and carrying the pager
Contribute to documentation for internal engineering consumption or for external the Everlaw platform
Do technical interviews to help us recruit engineers and grow the team

What we offer

Equity program
401(k) retirement plan with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and approximately 10 days (80 hours) per year of sick leave
Seventeen paid vacation days plus 11 federal holidays
Membership to Modern Health to help employees prioritize mental health and wellness
Annual allocation for Learning & Development opportunities and applicable professional membership dues
Company-sponsored life and disability insurance
Work in Downtown Oakland, just steps from the BART line and dozens of restaurants

Fulltime

Full Stack Product Engineer (AI), Search

Harmonic

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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